The Ponce Group

Fifteen Scene Categories

This is a dataset of fifteen natural scene categories that expands on the
thirteen category dataset
released by Fei-Fei Li. The two new categories are industrial and
store. Classification results for the fifteen categories are presented in the following paper:

3D Object Recognition Stereo Dataset

This dataset consists of 9 objects and 80 test images. The training images are stereo views
for each of the 9 objects that are roughly equally spaced around the equatorial ring for each of them.
The number of stereo views ranges from 7 to 12 for the different objects. The test images are monocular
images of objects under varying amounts of clutter and occlusion and different lighting conditions.

3D Photography Dataset

This is a collection of ten multiview data sets captured in our lab. Each set consists of
24 images of a single rigid object, together with camera parameters and extracted apparent
contours for each image.

Reconstruction results for this dataset appear in the following paper:

Object Recognition Database

This database features modeling shots of eight objects and 51 cluttered
test shots containing multiple objects. The images are color JPEGs,
the resolutions are 1.2 Mpix (1280 x 960) and 3.7 Mpix (2200 x 1700).
If you use this database in your own research, please cite the following paper:

The creation of this database was supported
in part by the National Science Foundation under grants IIS-0308087 and
IIS-0312438, the UIUC-CNRS Research Collaboration Agreement, the
European FET-open project VIBES, the UIUC Campus Research Board, and
the Beckman Institute.
For questions, contact Fred Rothganger (rothgang -at- uiuc.edu).

Texture Database

The texture database features 25 texture classes, 40 samples each.
All images are in grayscale JPG format, 640x480 pixels.
If you use this database in your own research, please cite the following paper:

The creation of this database was supported
in part by the National Science Foundation under grant IIS-0308087,
the European project LAVA, the UIUC-CNRS Research Collaboration Agreement,
the UIUC Campus Research Board, and the Beckman Institute.
For questions, contact Svetlana Lazebnik (slazebni -at- uiuc.edu).

Video Sequences

This dataset is used for research on
Euclidean upgrades based on minimal assumptions about the camera
(e.g. square pixels).